Qualitative Ferromagnetic Hysteresis Modeling | Science Publications

Journal of Computer Science

R. Daira¹  M. Mordjaoui¹  M. Chabane¹  B. Boudjema¹ 

关键词: ANFIS modeling technique;    magnetic hysteresis;    Jiles-Atherton model;    ferromagnetic core;   

DOI  :  10.3844/jcssp.2007.399.405

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

In determining the electromagnetic properties of magnetic materials, hysteresis modeling is of high importance. Many models are available to investigate those characteristics but they tend to be complex and difficult to implement. A new qualitative hysteresis model for ferromagnetic core presented, based on the function approximation capabilities of adaptive neuro-fuzzy inference system (ANFIS). The proposed ANFIS model combined the neural network adaptive capabilities and the fuzzy logic qualitative approach can restored the hysteresis curve with a little RMS error. The model accuracy was good and can be easily adapted to the requirements of the application by extending or reducing the network training set and thus the required amount of measurement data.

【 授权许可】

Unknown